169results about How to "Improve dynamic performance" patented technology

The invention relates to a multi-shaft compressor unit and a control method thereof, in particular to a steam-electricity double-drive multi-shaft compressor unit connected with double clutches and a control method of the steam-electricity double-drive multi-shaft compressor unit. The technical problems that in the prior art, a pure electricity mode, a pure steam mode and a steam-electricity double-drive mode cannot be switched on line, and when steam is sufficient, a motor cannot be disengaged, so that energy is wasted are solved. The system comprises a multi-shaft compressor, a steam turbine, a motor, a first clutch, a second clutch, a steam flow sensor, a controller and a rotating speed sensor. The multi-shaft compressor comprises a driving shaft; the driving shaft is provided with two driving ends which are respectively a first driving end and a second driving end; the output shaft of the steam turbine is coaxially connected with the first driving end through a first clutch; an output shaft of the motor is coaxially connected with the second driving end through the second clutch; and rotating speed sensors are arranged on the first driving end, the second driving end, the steam turbine and the output shaft of the motor.

The application provides a double-motor driving and rigidity actively adjustable series elastic actuator and a control method thereof, which utilizes elastic elements to convert kinetic energy and potential energy, reduces system energy consumption, improves system energy utilization efficiency, improves dynamic performance of the actuator by introducing the elastic elements, strengthens the anti-impact capability of the system, and improves the safety of human-machine interaction; rigidity is controlled by changing the effective lever arm length between the end of the actuator and the elastic element, the deformation of the elastic element under the load of the actuator is measured, the transmission ratio of the system is calculated, the output torque is obtained, and the output force control of the actuator is further realized. The application utilizes double-motor driving and double-differential transmission mechanism to realize active adjustment of the output rigidity of the actuator system, and has a more extensive use scene and application range.

The invention discloses a totem-pole PFC circuit control method and device based on an improved SOGI-PLL, and belongs to the technical field of totem-pole PFC circuits, and the method comprises the steps: collecting the input voltage, input current and bus voltage of a totem-pole PFC circuit; synchronous phase information of the power grid voltage is obtained through an improved second-order generalized integral phase-locked loop; generating a current amplitude reference signal, and combining the current amplitude reference signal with the synchronous phase information to synthesize a current reference signal; generating a pulse width modulation signal for controlling a high-frequency switching tube; and a switching signal of the power frequency switching tube is generated based on the synchronous phase information, and the power frequency switching tube and the high-frequency switching tube are driven in combination with the pulse width modulation signal, so that the action time sequence is synchronous with the phase of the power grid voltage, and therefore, waveform tracking of the input current is realized, and current distortion at the zero crossing point is suppressed. Precise phase synchronization is realized based on the improved SOGI-PLL, totem pole PFC zero-crossing current distortion is effectively suppressed, and the power factor and waveform quality are improved.

This invention proposes a lithium-ion battery electrolyte and its application. The electrolyte comprises at least the following components: a fluorinated solvent, including 2,2-difluoroethyl acetate, fluoroethylene carbonate, and 2,2-difluoroethyl ethyl carbonate; a lithium salt, including a first lithium salt comprising lithium hexafluorophosphate; and an additive, including a first additive comprising lithium difluorobis(oxalato)phosphate. The lithium-ion battery electrolyte and its application proposed in this invention can improve the electrolyte's high-voltage resistance and kinetic performance, reduce battery impedance, and enhance the battery's fast-charging performance and high-temperature cycle stability.

The invention belongs to the field of biological medicine, and discloses a chicoric acid (CA)-loaded tetrahedral framework nucleic acid (tFNA) nano preparation for treating acute gouty arthritis. According to the preparation, tFNA formed by self-assembly is taken as a carrier, and a natural active ingredient CA is loaded to form a CA-tFNA compound. The compound overcomes the defects that CA is poor in water solubility and low in bioavailability, and existing drugs are weak in targeting and large in side effect. Through the targeted delivery and synergistic effect of tFNA, the preparation can be effectively enriched in inflammatory joints, significantly inhibit NF-kappa B signal pathways, and down-regulate the expression of key proinflammatory factors such as TNF-alpha and IL-1beta, so that joint swelling and synovial tissue damage are relieved, and repair is promoted. Experiments show that the traditional Chinese medicine composition is remarkable in curative effect and good in safety, and a novel efficient treatment strategy is provided for acute gouty arthritis.

The invention discloses a crisscross optimization robust model predictive control method for an automatic sweeping robot. The crisscross optimization robust model predictive control method is adaptive to a trajectory tracking system with parameter uncertainty. According to the method, a discrete time controlled system with parameter uncertainty, a reference trajectory system and a tracking error system are constructed, performance evaluation indexes are defined, the stable control gain range of a basic RMPC controller is determined by solving a minimum and maximum optimization problem and linear matrix inequality constraints, and a multi-objective optimization function is combined in the range to achieve the stable control of the RMPC controller. The optimal additional control gain is iteratively searched by means of a crisscross algorithm, an optimized controller is formed, the stability and the dynamic performance are considered, the influence caused by parameter uncertainty can be overcome, the rising time and the adjusting time of trajectory tracking are remarkably shortened, the tracking error and the energy consumption are reduced, and the tracking efficiency is improved. And the dual requirements of the automatic sweeping robot on real-time response and control precision are met.

The application discloses a single-phase full-bridge power module, comprising a substrate, a base island located on a first surface of the substrate, the base island comprising a first base island, a second base island and a third base island, a first power device, a second power device, a third power device and a fourth power device, the first power device and the second power device forming a first half-bridge unit, the third power device and the fourth power device forming a second half-bridge unit, the first half-bridge unit and the second half-bridge unit forming a single-phase full-bridge unit, the first power device and the third power device being located on the first base island, the second power device being located on the second base island, the fourth power device being located on the third base island, and the first base island semi-enclosing the second base island and the third base island. The single-phase full-bridge power module provided by the application adopts a reasonable layout to package power devices, reduces parasitic parameters, and improves the dynamic performance and loss of a circuit.

The application discloses a data-driven optimal control method for a grid-connected inverter. The method comprises the following steps: constructing a DeePC optimization controller of the grid-connected inverter on the grid side; acquiring a data matrix of the grid-connected inverter in a preset historical period and an initial trajectory after a preset adjacent period, inputting the controller, setting parameters for different control targets and types of the grid-connected inverter, outputting an optimal input data sequence after processing, generating a sinusoidal pulse width modulation wave signal and acting on the grid-connected inverter, and realizing data-driven optimal control. The method can automatically perceive and adapt to the dynamic characteristics of the actual power grid through real-time data-driven predictive control, can present or enhance the control behavior of the grid-constructing or grid-following inverter by modifying the cost parameters, can realize multi-mode flexible, optimal and coordinated control, has excellent dynamic response and steady-state performance, is beneficial to safe and stable operation, and improves the ability to adapt to complex and variable operating conditions and power grid strength.

The invention relates to the technical field of medical robots, and particularly discloses a multi-degree-of-freedom ankle training mechanism and a simulation and movement assisting robot. The multi-degree-of-freedom ankle training mechanism comprises a base, a moving part and a telescopic driving mechanism, the moving part comprises a moving base plate, a pedal plate and a rotary driving mechanism, and the moving base plate is connected with the base through a first universal hinge; the telescopic driving mechanism is arranged on the base, and a telescopic rod of the telescopic driving mechanism is connected with the moving base plate through a second universal hinge. According to the scheme, the telescopic driving mechanism is arranged on the base, and the movement base plate and the pedal plate are driven by a simpler mechanism to rotate at multiple degrees of freedom, so that the size and movement inertia of movement parts are greatly reduced, and the overall structure is more compact and light. The motion response speed and the dynamic performance of the multi-degree-of-freedom ankle training mechanism can be improved, the multi-degree-of-freedom ankle training mechanism can be integrated into a simulation and motion assisting robot platform more easily, and the system integration degree is improved.

The application discloses a titanium nitride supported osmium platinum catalyst with a gradient polarization effect, a preparation method of the catalyst and application of the catalyst in fuel cells, and belongs to the field of new energy materials and electrocatalysis technology. The catalyst comprises a TiN carrier and a Pt-Os alloy cluster supported on the carrier, wherein Os is doped in the form of a single atom in a Pt nanocluster. A gradient polarization architecture is constructed inside the catalyst, electrons are directionally transferred in TiN-Pt-Os, and electron-rich Os single atoms act as oxygenophilic sites to capture OH ‑ , adjacent Pt sites dissociate H2, through two-site cooperation and interface water network regulation, significantly accelerating the kinetics of alkaline hydrogen oxidation reaction. The mass activity of the catalyst reaches 11337 A / g, which is 24.7 times that of commercial Pt / C; when applied to an AEMFC single cell, the peak power density reaches 1.49 W / cm 2 , which is 2.7 times that of commercial Pt / C, and has excellent practical application prospect.

The invention provides a manufacturing decision system-oriented modular functional architecture and a collaborative mechanism thereof, and the structural organization and reusable collaboration of a manufacturing decision process are realized by constructing a multi-layer capability system, a functional module system and a standardized behavior interface. The architecture comprises a data interface module, a decision-making target module, a disturbance response module and a fusion decision-making module, and defines a data flow, a control flow and a trigger relationship among the modules. The system completes target expression, constraint analysis, disturbance identification and collaborative decision generation through standardized access of multi-source data such as orders, productivity, materials and processes, and forms an interpretable and executable decision link. According to the invention, modularization, interpretability and intelligent cooperation of the manufacturing decision-making system are realized, and multi-scene and multi-industry manufacturing decision-making application is supported.

This application discloses a method and apparatus for tuning control parameters of a grid-type converter. The method includes: solving the closed-loop transfer function of the first current control loop; using the Routh criterion to obtain the inequality constraints that the active power-frequency outer loop control parameters should satisfy under preset stability requirements; solving the inequality constraints under preset dynamic performance requirements to tune the active power-frequency outer loop control parameters; solving the closed-loop transfer function of the second current control loop to tune the reactive power-voltage outer loop control parameters; determining the parameter selection range of virtual inductance and virtual resistance based on the converter inductance to tune the virtual impedance control parameters; and solving the closed-loop transfer function of the third current control loop to solve the equality constraints that the current inner loop control parameters should satisfy under preset dynamic performance requirements to tune the current inner loop control parameters. This solves the technical problems in related technologies where parameter tuning based on experience or trial and error is inefficient and makes it difficult to find optimal control parameters.

The invention provides a battery monomer, a negative pole piece, a battery device and a power utilization device, the battery monomer comprises the negative pole piece, the negative pole piece comprises a bottom coating arranged on at least one side of a negative current collector, and the bottom coating comprises a plurality of first bulges protruding back to the negative current collector and a first concave part between two adjacent first bulges; the bottom coating layer comprises a first binder; the active material layer is arranged on one side, opposite to the negative electrode current collector, of the bottom coating layer, the active material layer comprises a plurality of second bulges protruding towards the bottom coating layer and second concave parts between two adjacent second bulges, and the active material layer comprises a second binder; the first bulge is coupled with the second concave part, and the second bulge is coupled with the first concave part; the mass content a of the first binder in the undercoat layer is greater than the mass content b of the second binder in the active material layer. The dynamic performance and the cycle life of the battery monomer are relatively good; the battery device and the power utilization device at least have the above beneficial effects.

The invention provides a pole piece of a lithium ion battery and a preparation method of the pole piece, the pole piece of the lithium ion battery comprises a current collector and an active material coated on the current collector, and by arranging the active material and an adhesive, the active material can be conveniently and rapidly fixed when being extruded and arranged on the current collector along an angle; the assembly state of the active material on the current collector is stabilized, the active material is placed in the slit die cavity to be extruded, the active material moves and deforms towards the single side direction, so that the structure becomes long and narrow, and the end part of the long and narrow active material is connected with the current collector to be rolled, so that the tortuosity of the lithium ion battery pole piece is reduced, and the service life of the lithium ion battery pole piece is prolonged. And the migration rate of lithium ions in the pole piece and the embedding rate of the lithium ions in the active material are accelerated, meanwhile, the problem that the pole piece is expanded and increased due to lithium ion embedding in the thickness direction of the pole piece is solved, and the probability of deformation of the lithium ion battery is reduced.

The invention relates to the technical field of vehicle control, in particular to an electric vehicle steering torque collaborative distribution optimization method. Comprising the following steps: collecting running state data in the running process of the electric vehicle, and carrying out state estimation on the running state data to generate a vehicle running state vector; further, a road condition self-adaptive adjusting mechanism is constructed, and an expected yaw velocity is obtained through calculation; generating a total steering torque based on the expected yaw velocity; based on the total steering torque and the actuator state data set, designing a self-driven adjustment mechanism based on the resource contribution rate, and calculating the resource contribution rate of each actuator; an actuator state prediction mechanism is introduced, and the resource contribution rate of each actuator is corrected; and based on the corrected resource contribution rate and the total steering torque of each actuator, steering torque is distributed to each actuator, and steering is executed based on the steering torque distributed by each actuator. The problems that control of all execution systems is dispersed, steering response lags behind, energy consumption is increased, and steering precision is poor are solved.

The invention provides a PI controller parameter optimization method, a PI controller and a grid-connected inverter, and the method comprises the steps: firstly, determining an allowable range of a current loop bandwidth, taking the value range of controller parameters as a constraint, and taking the minimum overshoot, the highest response speed and the minimum reactive current change as targets; and parameters of the current loop dynamic performance model are optimized according to a simple gradient method. According to the method, high accuracy can be achieved through less test data through the current loop dynamic performance model, the relation between controller parameters and output variables can be accurately reflected, a reliable basis is provided for parameter optimization, the parameter optimization process is more efficient due to application of the simple gradient algorithm, and the method is suitable for large-scale popularization and application. The optimal solution can be found in a short time, the optimized controller can achieve the good decoupling performance of a current loop, and especially when the active current changes greatly, the optimized controller can remarkably reduce the change of the reactive current, so that the dynamic performance of the system is improved.

This invention relates to a constant pressure control system for an optical cavity based on pump-valve coordination and water immersion sensing, and its active protection method. Belonging to the fields of precision instrument control and industrial automation, the system integrates an electronically controlled proportional valve and an air pump through a pump-valve coordinated pressure control unit. It dynamically adjusts the intake and exhaust flow rates based on an adaptive PID algorithm and a coordinated allocation function, achieving high-precision, rapid, bidirectional adjustment of the optical cavity pressure. Simultaneously, it employs a dual environmental sensing unit including visual perception and capacitive liquid level sensing, which executes constant pressure control and active anti-intrusion monitoring in parallel through an intelligent coordinated control unit. When visual detection identifies a risk of water intrusion, the system proactively limits the pump speed; when the capacitive sensor detects liquid water intrusion, it immediately executes an emergency shutdown. This solves the problem of difficulty in coordinating pressure control and safety assurance in traditional technologies, achieving a unified approach of long-term precise constant pressure and active contamination protection, significantly improving the system's reliability, safety, and intelligence level under complex operating conditions.

This invention relates to a mesoporous platinum@platinum-nickel core-shell framework nanowire and its preparation method, comprising the following steps: (1) uniformly mixing platinum precursor, nickel precursor, structure directing agent, and reducing agent with a first solvent, and performing a hydrothermal reaction to obtain Pt@Pt-Ni core-shell nanowires; (2) uniformly mixing the Pt@Pt-Ni core-shell nanowires with a second solvent and acetic acid, and performing an etching reaction to obtain etched mesoporous platinum@platinum-nickel core-shell framework nanowires. This invention employs a hydrothermal method, which is simple, reproducible, and allows for batch production with safety. Compared with traditional commercial platinum-carbon catalysts, the catalytic activity is greatly improved, the stability is greatly enhanced, and the production cost is reduced.

The invention discloses a rigid-flexible coupling driving multi-degree-of-freedom robot grinding and polishing device and a control method, the device comprises a base, a lifting driver, a constant force mechanism driver, a compliant constant force mechanism and a multi-degree-of-freedom parallel mechanism, and the lifting driver and the constant force mechanism driver are both mounted on the base; the output end of the constant force mechanism driver is connected with the compliant constant force mechanism, the output end of the lifting driver is connected with a telescopic universal joint coupling, the multi-degree-of-freedom parallel mechanism is connected with the telescopic universal joint coupling and the compliant constant force mechanism, and the grinding and polishing head is installed on the multi-degree-of-freedom parallel mechanism. The number of the compliant constant force mechanisms is the same as the number of degrees of freedom of the multi-degree-of-freedom parallel mechanism, the compliant constant force mechanisms are arranged on the periphery of the lifting driver, and one compliant constant force mechanism is correspondingly connected with one constant force mechanism driver. Machining force fluctuation caused by vibration in the grinding and polishing process can be effectively reduced, and the requirements of the modern manufacturing industry for high-precision and high-efficiency machining can be met.

The application discloses an improved model-free current prediction control method and device and system based on a forgetting factor. The method does not need to acquire system parameters in advance, only needs to collect a load current, and then approximately calculates a current increment from historical current data, and then outputs an optimal inverter switch state from a minimized current value function, and meanwhile, a forgetting factor is introduced to weaken the adverse effect of a sampling error on the system, so that the model-free current prediction control is realized. On the basis of guaranteeing the realization of the parameter-free control, the forgetting factor is introduced to weaken the adverse effect of the sampling error on the system, the current quality is improved while the response speed is faster, and the robustness of the control is improved. The application is suitable for different types of power electronic topological structures, and does not need to separately perform mathematical modeling on different types of power electronic topological structures, has a reference significance for the model-free prediction current control of the power electronic converter, and has a wide application prospect.

The application discloses a hierarchical background calibration method for a time-interleaved ADC (Analog to Digital Converter), which is suitable for a multi-channel time-interleaved and single-channel two-stage ADC structure analog-digital conversion system. After code conversion and data alignment of each sub-channel output code stream, the method firstly estimates and eliminates each channel misadjustment and mismatch by using a second-order digital tracking loop after down-sampling, then constructs a gain error iterative update loop based on channel output power consistency to obtain a digital gain compensation coefficient, and finally performs same-frequency quadrature demodulation on each channel sequence after misadjustment and gain correction, extracts each channel phase information and converts it into a relative sampling time sequence deviation, and quantitatively compensates through a programmable clock delay unit. The method classifies static mismatch and dynamic time sequence mismatch, can suppress interleaving spur without interrupting normal sampling, improves the SNDR (Signal-to-Noise and Distortion Ratio) and SFDR (Spurious Free Dynamic Range) of the time-interleaved ADC, is simple in hardware implementation, is suitable for RTL (Register Transfer Level) implementation and on-chip background operation.

The application discloses a kind of robot controller adaptive parameter optimization systems based on reinforcement learning, including operating state data acquisition module, obtains the operating state data of robot;Decision input sequence construction module, constructs decision input sequence;Embedding processing module, obtains embedding sequence;Improved Decision Transformer model module, set performance-oriented channel and safety-oriented channel;Gating modulation and feature fusion module are used to output control target weight parameter and constraint threshold parameter;Control performance return construction module generates control performance return;TD3 training module, output controller gain parameter;Control execution and parameter update module, execute control output.The application combines reinforcement learning algorithm and robot motion control technology, with the advantages of high control precision, strong system smoothness, high safety and strong generalization ability.

This utility model provides an integrated braking device for a suspended bogie, belonging to the field of railway vehicle technology. It includes a braking assembly, a transmission assembly, an air drive assembly, and a suspension assembly. The braking assembly includes a first brake beam and a second brake beam spaced apart. The transmission assembly includes a first push rod, a second push rod, a first transmission member, and a second transmission member. One end of both the first and second push rods is hinged to the second brake beam. The first and second transmission members are located at opposite ends of the air drive assembly. The first transmission member is hinged to the air drive assembly, the first brake beam, and the first push rod, respectively. The second transmission member is hinged to the air drive assembly, the first brake beam, and the second push rod, respectively. The first and second brake beams are connected to the bogie crossbeam via the suspension assembly. This utility model reduces the bogie's lower mass, improves the vehicle's dynamic performance, and also enhances the vehicle's braking and release performance.

The invention relates to a permanent magnet synchronous motor model prediction control method and system, belongs to the technical field of permanent magnet synchronous motor driving, and solves the problem that parameter robustness and dynamic performance cannot be considered when parameter mismatch occurs in permanent magnet synchronous motor model prediction control in the prior art. Comprising the steps of obtaining sampling values of stator current, stator voltage and electrical angular velocity at a current sampling moment and two previous moments and a direct current bus voltage at the current sampling moment, further updating incremental current prediction errors and time sequence sampling data of incremental voltage, and further obtaining a first sample vector and a second sample vector at the current sampling moment; and then a small-batch stochastic gradient descent method is adopted to obtain an identification value of a parameter mismatch coefficient at the current sampling moment, then stator current prediction values of different voltage vectors at the next moment are obtained, then an optimal voltage vector is obtained, and permanent magnet synchronous motor model prediction control at the next moment is carried out based on the optimal voltage vector.

This invention proposes a method for randomizing structure layout during loading. The method first identifies the randomizable boundaries of structure types in the target program. Combining structure layout information from the abstract syntax tree with type conversion relationships and fixed offset access relationships in the LLVM intermediate representation and sparse value flow graph, a set of non-randomizable structure types is constructed. Subsequently, structure information is collected and transmitted for the remaining randomizable structures. Structure type information, field access information, access instruction locations, and the location information of static structure objects in the data segment are embedded into a dedicated section of the final binary file. During program loading, a customized loader parses the dedicated section, restores the original structure layout, generates a new randomized layout, and performs consistency correction on access instructions in the code segment that depend on the old field offsets and statically initialized structure objects in the data segment before starting the program.

The application provides a pore-forming agent for lithium ion batteries and a preparation method thereof, which comprises a wall material preparation step, a core material preparation step, a W / O type initial milk preparation step and a pore-forming agent for lithium ion batteries preparation step. The pore-forming agent preparation method is a new pore-forming agent synthesis route, which has the advantages of simple reaction steps, mild reaction conditions, high yield, low cost and environmental protection. The technology can accurately construct a uniform multi-level pore network by introducing the pore-forming agent into the electrode, significantly reduces the charge transmission impedance, effectively improves the fast charging capacity and high-rate discharge performance of the battery, greatly improves the electrode-electrolyte interface contact, and ensures the full use of the active material. The application also provides an application of the pore-forming agent for lithium ion batteries to lithium ion batteries. The application of the pore-forming agent for lithium ion batteries to the lithium ion batteries can improve ion conduction and improve the rate performance.

The utility model relates to the technical field of evaporation concentration, disclose a kind of low-temperature heat pump evaporator structure, including reaction component, the reaction component includes bearing frame, the top of bearing frame is fixedly connected with reaction kettle, the outer surface of reaction kettle is threadedly connected with sealing cover, the top of sealing cover is sequentially provided with raw material liquid inlet and concentrated liquid outlet, the bottom of reaction kettle is provided with steam exhaust port.The utility model is rotated by servo motor drive drive rod in cleaning component, and then drive stirring rod to carry out forced flow disturbance to raw liquid and the structure operation of synchronous rotation scraping heating pipe outer surface with drive rod as center of circle of cleaning rod, drive the forced flow disturbance of raw liquid, ensure that heat is evenly distributed and accelerate evaporation, while periodically scraping heating pipe outer surface, prevent dirt deposition, realize the beneficial effect of improving heat transfer efficiency and reducing shutdown maintenance frequency.Stirring rod three groups evenly distributed optimize the fluid dynamics performance, avoid to produce dead angle or vortex.

The application discloses an improved deadbeat control method for reducing switching loss, and is implemented according to the following steps: step 1, modeling a single-phase circuit of an MMC, and meanwhile, establishing a single-phase upper and lower bridge arm node current equation; step 2, discretizing the established equation, and taking a ring current as a reference quantity to establish a deadbeat control system; step 3, collecting voltages of upper and lower bridge arms of each phase of the MMC and discriminating voltage discretization; step 4, operating the upper and lower bridge arm voltages output by step 2 to obtain the number of sub-modules that should be turned on for each phase of the upper and lower bridge arms of the MMC in the next control period; and step 5, sorting each sub-module voltage of each phase after being processed in step 3, and meanwhile, turning on or turning off specific sub-modules according to the number of sub-modules that should be turned on for each phase of the upper and lower bridge arms in the next control period obtained in step 4. The application can improve system dynamic performance, improve output voltage quality and reduce the number of times of turning on sub-modules of the system.

This invention discloses a high-energy-density dual-piston hydraulic accumulator and its working method, belonging to the field of hydraulic energy storage technology. It includes a variable-diameter dual-piston chamber formed by the combination of two piston chambers, one smaller and one larger. Each dual-piston chamber contains two interconnected pistons connected by a connecting mechanism, dividing the variable-diameter dual-piston chamber into three chambers: upper, middle, and lower. Oil ports are located at the top and bottom of each chamber. A gas cylinder is connected to the side of the larger piston chamber near the smaller piston chamber via a pipeline, thus making the upper and lower piston chambers oil chambers and the middle piston chamber a gas chamber. Due to the smaller diameter of the upper chamber and the larger diameter of the lower chamber, the rod rises, reducing the volume of the middle piston chamber and compressing the air in the middle piston chamber for energy storage. Its structure is simple, small in size, low in cost, and its energy density is twice that of traditional accumulators.

This utility model discloses a slotless AC motor structure based on a reduced-core design, comprising a housing, a stator module, a partial core module, and a rotor module. The housing includes a main body and a base plate. The stator module is built into the housing and includes an annular non-magnetic frame and coils. The partial core module includes several cores, which are mounted one-to-one on a core mounting bracket, with air gaps between adjacent cores. This slotless AC motor structure aims to solve problems such as significant cogging effect, excessive core weight, and inflexible magnetic circuit in traditional motor structures. The motor eliminates the traditional slotted stator structure, adopting a combination design of slotless coils and a partial magnetic core. While ensuring effective control of the magnetic flux path, it significantly reduces motor weight, manufacturing complexity, and improves dynamic response performance.